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Probabilistic machine learning : an introduction / Kevin P. Murphy.

Publisher website (free ebooks) Available online

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Format:
Book
Author/Creator:
Murphy, Kevin P., 1970- author.
Series:
Adaptive computation and machine learning
Language:
English
Subjects (All):
Machine learning.
Probabilities.
Probability.
Machine Learning.
probability.
Medical Subjects:
Probability.
Machine Learning.
Physical Description:
1 online resource (xxix, 826 pages) : illustrations (some color).
illustration
polychrome
Place of Publication:
Cambridge, Massachusetts : The MIT Press, [2022]
Summary:
"This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"-- Provided by publisher.
Contents:
Introduction
Probability: univariate models
Probability: multivariate models
Statistics
Decision theory
Information theory
Linear algebra
Optimization
Linear discriminant analysis
Logistic regression
Linear regression
Generalized linear models
Neural networks for structured data
Neural networks for images
Neural networks for sequences
Exemplar-based methods
Kernel methods
Trees, forests, bagging, and boosting
Learning with fewer labeled examples
Dimensionality reduction
Clustering
Recommender systems
Graph embeddings.
Notes:
Includes bibliographical references and index.
Online resource; title from PDF title page (viewed February 14, 2022).
Other Format:
Print version: Murphy, Kevin P., 1970- Probabilistic machine learning.
ISBN:
0262369303
9780262369305
0262369311
9780262369312
OCLC:
1296430290
Access Restriction:
Some versions: Open access versions available from some providers open access

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